[Hiring] AI Research Expert @Mercor

Role Description

• Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
• Review complex machine learning research for alignment with domain principles and methodologies.
• Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
• Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
• Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

• Must-Have: PhD in Machine Learning, Computer Science, AI, or a closely related field.
• Published at least one main conference paper at ICML, NeurIPS, or ICLR.
• Strong preference for candidates with 2+ publications at these venues.
• Demonstrated experience conducting original ML research.
• Preferred: Expertise in Reinforcement Learning (RL).
• Experience with Meta-Learning.
• Knowledge of Recursive Self-Improvement.
• Familiarity with AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).

Requirements

• Start Date: Urgent; initial data/results expected Monday / Tuesday 27th July.

Resources & Support

• For details about the interview process and platform information, please check: Interview Process .
• For any help or support, reach out to: [email protected] .
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.